Operations
Guide activities, documents and information inside a consistent workflow.
Data Quality and Data Governance in one operational platform
MDQA governs data from ingestion to reporting through normalisation, reconciliation, quality controls, lineage, remediation, orchestration and dashboards.
WHAT IT DOES
MDQA turns specialist work into a structured process.
MDQA governs data from ingestion to reporting through normalisation, reconciliation, quality controls, lineage, remediation, orchestration and dashboards.
Control
Keep statuses, deadlines, responsibilities and exceptions visible.
Management
Turn operational data into portfolio views and decision support.
WHO IT IS FOR
Built for a specific operating context.
Data Office, IT, Risk and reporting teams that need one controlled process for Data Quality and Data Governance.
Guide the work
Activities, information and documents are organised around the process rather than scattered across separate tools.
Make the process observable
Rules, anomalies, lineage, remediation and outcomes remain traceable so quality can be measured and improved over time.
Use the history
Operational information can be consolidated into trends, workload views and decision support appropriate to the process.
OPERATIONAL FLOW
From input to managed outcome.
The exact configuration depends on the organisation, but the product is designed around a clear, traceable sequence.
01Acquire
02Normalise / transform
03Control / reconcile
04Remediate
05Report & govern
INTEGRATION
Part of the information system, not another isolated island.
Designed for heterogeneous sources and downstream platforms without forcing governance into a single isolated silo.
Process → Control → Result → Management.
MDQA